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Division of Software and Computer Systems

The Division of Software and Computer Systems (SCS) is part of the School of Electrical Engineering and Computer Science. We are in the Department of Computer Science (CS).

Research areas

Data Science

Research on conformal prediction, machine learning, computational epidemiology, information network analytics and multi-agent systems.

Machine Learning and Computational Health

Data Science: Machine Learning

Research on algorithms and systems for data analysis, machine learning and data mining. We work in healthcare, drug development, climate research, vehicle maintenance and social networking.

Software Engineering

Software Construction and Analysis

We research Software technology for DevOps, advanced software testing, and novel techniques for automatic software diversification.

Distributed and Parallel Systems

Distributed and Parallel Systems

We develop large distributed systems and algorithms in data intelligent cloud services, big data and data analysis systems.

Network Systems

Network Systems

Our main research focus is making it easy to develop and manage key societal Network Systems that meet their objectives. Classic examples include: high performance, high reliability, and low-power.

Networked Systems Security

Networked Systems Security

We make networked systems trustworthy by shielding them and their users from attacks and abuse. Our research solving security and privacy problems..


Making data accessible - despite server and network issues

A software developed by KTH has enabled cloud services to be easier to build and more resilient to failures. “I wanted to make fault-tolerant systems easy to build and use, contrary to what is ofte...

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Sonia Horchidan and Paris Carbone

Elevated credibility in AI-generated information

A new graph database management system is under development at KTH. Using graph technology in combination with artificial intelligence (AI), the system could assist in planning everything from healthc...

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Four scientists on the future of AI

Research in Artificial Intelligence was in focus when researchers and partners from Saab and Ericsson gathered for two days at CASTOR Software Days to discuss the research in the field.

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Meet the division

Recent publications

D. Roy et al., "Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition," in UbiComp/ISWC '23 Adjunct : Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023, pp. 352-358.
A. Samy, Z. T. Kefato and S. Girdzijauskas, "Data-Driven Self-Supervised Graph Representation Learning," in ECAI 2023 : 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings, 2023, pp. 629-636.
Full list in the KTH publications portal

Vision and mission

The goal of the division SCS is to continue strong research and education on fundamental aspects of software technology and computer systems, central areas within Computer Science. We have a focus on cloud computing, networked systems, security in networked systems, social networks, time aware systems, data science, and applied AI as well as Software Engineering.

Page responsible:Web editors at EECS
Belongs to: Software and Computer Systems
Last changed: Nov 30, 2023